# Copyright (c) 2024, Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
# All Rights Reserved.
#
#    Licensed under the Apache License, Version 2.0 (the "License"); you may
#    not use this file except in compliance with the License. You may obtain
#    a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
#    License for the specific language governing permissions and limitations
#    under the License.
import onnx
import argparse
from onnxsim import simplify

def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("--input_model", type=str)
    parser.add_argument("--output_model", type=str)
    parser.add_argument("--input_names", nargs='+', type=str)
    parser.add_argument("--output_names", nargs='+', type=str)
    args = parser.parse_args()
    return args

args = parse_args()
onnx.utils.extract_model(args.input_model, args.output_model, args.input_names, args.output_names)
print("  Cut Model Done.")
